Remote Vehicle Safety Event Detection Beyond Sensor Coverage
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Solution Overview
Problem
Vehicles without sensing and communication systems lack the capability to transmit information about location, heading, and velocity, which reduces the performance and availability of advanced driver assistance systems (ADAS) in identifying roadway safety events.
Innovation Solution
A system and method that utilizes sensors, including host vehicle sensors, mobile devices, and roadside units to measure target vehicle locations and velocities, and employs machine learning models to identify safety events such as target-to-infrastructure, target-to-target, erratic driving, and unobserved events, even outside the sensor's field of view, and provides in-vehicle warnings or navigation suggestions based on these events.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If vehicles are equipped with sensing and communication systems, then the capability to transmit information and identify roadway safety events is improved, but the device complexity and cost increase
Solution Approach 1:
The patent introduces a server as an intermediary that aggregates data from multiple sources (including vehicles with and without communication systems, mobile devices, and roadside units) to provide safety event information to all vehicles. This mediator approach allows vehicles without complex communication systems to benefit from collective data processing, resolving the contradiction between reliability improvement and device complexity reduction.
Solution Approach 2:
The system creates a universal platform that serves multiple functions: data collection from diverse sources, aggregation and processing, safety event identification, and information distribution to all vehicles regardless of their equipment level. This multi-functional approach allows the same infrastructure to benefit both equipped and unequipped vehicles, improving overall system reliability without mandating complex systems in all vehicles.
2Device complexity
If vehicles without communication systems are used, then the device complexity is reduced, but the performance and feature availability of ADAS systems deteriorates
Solution Approach 1:
The server acts as an intermediary that bridges the gap between equipped and unequipped vehicles. It collects data from various sources, processes it to identify safety events, and transmits the results to vehicles without communication systems through alternative channels, thereby maintaining ADAS performance without requiring complex communication hardware in each vehicle.
Solution Approach 2:
The system creates a virtual representation of the roadway environment by aggregating data from multiple sources and distributing this synthesized information to all vehicles. This copying approach allows vehicles without direct sensing capabilities to receive accurate safety event information that mirrors the actual roadway conditions, maintaining ADAS effectiveness without requiring physical communication systems in each vehicle.
3Device complexity
If only host vehicle sensors are used for measurement, then the device complexity is minimized, but the measurement coverage and detection capability is limited
Solution Approach 1:
The patent merges data from multiple independent sources including host vehicle sensors, other vehicles' sensors, mobile devices, and roadside units into a unified dataset. This combination of measurement sources significantly expands detection coverage and improves accuracy for identifying target vehicle locations and velocities, allowing the system to achieve high measurement precision without requiring each individual vehicle to possess complex sensor systems.
Data Source
AI summary
According to several aspects, a method for identifying roadway safety events may include performing a measurement of one or more target vehicles using a sensor. The method further may include identifying a safety event based at least in part on the measurement of the of one or more target vehicles. The method further may include performing an action based at least in part on the safety event.